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Remote Neuroimaging Data Analyst Jobs in Puerto Rico

Julius 2 Grow

Work Type: Full-time, permanent Location: 100% Remote Reporting Line: International teams in the US ... US East Coast Role Overview We are seeking a highly analytical and detail-oriented Data Analyst to ...

Deloitte

Hospital Billing Analyst

San Juan, PR · Remote

$47K - $62K/yr

Experience analyzing billing workflows, claim issues, or operational data For individuals assigned and/or hired to work in a remote role, Deloitte is required by law to include a reasonable estimate ...

ABB

Strategic Marketing Manager, Data Centers

Aguadilla, PR · On-site +1

$84K - $103K/yr

... Cary, NC office or full-remote in the United States. This role is contributing to the ... Strong analytical, communication, and executivelevel presentation skills. * Ability to travel up to ...

Infotech Sourcing

Linguist III

PR · Remote

... Remote Duration:8 months Job Title: Linguist lII (FAIR) Main duties: Perform linguistic analyses on ... for data analysis are a plus. Must be able to independently work through complex requests and ...

OncoHealth

Case Review Specialist - PR

Guaynabo, PR · On-site +1

Remote/hybrid experience preferred * A minimum of 2-4 years' administrative experience and/or ... Using real world data, our engineers normalize data to create analytic dashboards with drill down ...

Deloitte

Hospital Billing Coordinator

San Juan, PR · Remote

$50K - $60K/yr

Experience analyzing billing workflows, claim issues, or operational data For individuals assigned and/or hired to work in a remote role, Deloitte is required by law to include a reasonable estimate ...

Danaher

Field Application Specialist

Caguas, PR · On-site +1

... fully remote role . In this role, you will have the opportunity to: - Providing technical and ... Flow analysis Software for high dimensional data (like tSNE, CITRUS, FlowSOM, Parade and other ...

ICF

Project Manager - (Puerto Rico)

San Juan, PR · On-site +1

Remote role based in Puerto Rico; Must be able to travel to visit clients, stakeholders and ... data management and applications of these products for local government and regional use and ...

ABB

Business Process Manager

Aguadilla, PR · Remote

This is a remote position, with preference for candidates to be located in a major metro city in ... Partner with senior leadership on FICO strategy, data integrity, internal controls, and roadmap ...

L3HHCM20

Principal, Capture Management

San Juan, PR · Remote

Remote Job Schedule: 9/80 Schedule (Off every other Friday) L3Harris Spectrum Superiority Sector is ... Overseeing and verifying competitive analysis, Black Hat Reviews, Green Team (financial and ...

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Remote Neuroimaging Data Analyst information

What are the key skills and qualifications needed to thrive as a Remote Neuroimaging Data Analyst, and why are they important?

To thrive as a Remote Neuroimaging Data Analyst, you need a solid background in neuroscience, statistics, and computer science, often supported by a relevant degree such as neuroscience, psychology, or biomedical engineering. Familiarity with neuroimaging software (e.g., SPM, FSL, AFNI), programming languages like Python or MATLAB, and experience with data analysis tools are typically required. Attention to detail, problem-solving abilities, and strong communication are key soft skills for interpreting complex data and collaborating with research teams remotely. These skills ensure accurate analysis, meaningful scientific insights, and effective teamwork in distributed research environments.

What is a Remote Neuroimaging Data Analyst?

A Remote Neuroimaging Data Analyst is a professional who analyzes brain imaging data, such as MRI or CT scans, from a remote location using specialized software and statistical tools. Their work involves preprocessing, quality control, and extracting meaningful information from neuroimaging datasets for research or clinical purposes. They collaborate with neuroscientists, clinicians, and research teams, often using advanced computational methods to interpret complex brain images. Working remotely allows them to access and process data from various institutions without being physically present in a lab or hospital.

What is the difference between Remote Neuroimaging Data Analyst vs Remote MRI Data Technician?

AspectRemote Neuroimaging Data Analyst
CredentialsBachelor's or Master's in Neuroscience, Psychology, or related fields; experience with neuroimaging software
Work EnvironmentPrimarily remote, analyzing neuroimaging data, creating reports, and interpreting results
Employer & IndustryResearch institutions, healthcare, biotech companies, universities
Common TasksData processing, statistical analysis, report writing, data visualization

While both roles involve neuroimaging, the Remote Neuroimaging Data Analyst focuses on analyzing and interpreting neuroimaging data remotely, whereas the Remote MRI Data Technician typically handles data acquisition and equipment operation on-site. The analyst role emphasizes data analysis skills and software proficiency, making it more research and report-oriented, while the technician role is more technical and equipment-focused.

What are some common challenges faced by Remote Neuroimaging Data Analysts, and how can they be addressed?

Remote Neuroimaging Data Analysts often encounter challenges such as managing large and complex datasets, ensuring data security and privacy, and maintaining clear communication with multidisciplinary teams. Working remotely can add complexity to collaboration, so utilizing reliable project management tools and regularly scheduled virtual meetings is essential. Staying updated on the latest neuroimaging software and analysis techniques, as well as adhering to strict data governance protocols, can help overcome these hurdles and ensure high-quality results.
What are popular job titles related to Remote Neuroimaging Data Analyst jobs in Puerto Rico? For Remote Neuroimaging Data Analyst jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Remote Neuroimaging Data Analyst jobs in Puerto Rico look for? The top searched job categories for Remote Neuroimaging Data Analyst jobs in Puerto Rico are:
What cities in Puerto Rico are hiring for Remote Neuroimaging Data Analyst jobs? Cities in Puerto Rico with the most Remote Neuroimaging Data Analyst job openings:
Remote Neuroimaging Data Analyst jobs near you

Data Analyst Pharmaceutical Industry

Julius 2 Grow

Remote

Full-time

Posted 5 days ago

Job description

Work Type: Full-time, permanent
Location: 100% Remote
Reporting Line: International teams in the US and Europe
Language Requirement: Advanced English (must-have)
Time Zone Preference: US East Coast

Role Overview

We are seeking a highly analytical and detail-oriented Data Analyst to support pharmaceutical brand, commercial (marketing), and analytics teams. This role plays a critical technical function by connecting healthcare data with media and marketing insights to drive clear, actionable business outcomes.

The ideal candidate is comfortable working with complex and imperfect data, applies strong statistical reasoning, and can translate sophisticated analyses into compelling insights for both technical and non-technical stakeholders. This is a fully remote role, collaborating closely with cross-functional teams across the US and Europe.

Key Responsibilities

  • Perform advanced SQL-based data transformations, integrating multiple internal and external data sources (e.g., claims, media, CRM, EHR-derived datasets).

  • Define, validate, and govern metrics aligned with pharmaceutical business needs (e.g., brand performance, HCP engagement, patient journeys).

  • Apply statistical analysis to identify trends, key drivers, and ensure analytical rigor in recommendations.

  • Maintain and evolve analytical datasets and workflows as new data is ingested.

  • Conduct in-depth exploratory data analysis (EDA) to uncover patterns, anomalies, and opportunities within complex healthcare datasets.

  • Translate analytical findings into clear, actionable insights tailored to stakeholders across marketing, analytics, strategy, and leadership teams.

  • Manually clean, normalize, and structure data to ensure quality and analytical readiness for deep-dive analyses.

  • Prepare datasets to support advanced analytics, including exploratory and explanatory AI/ML applications.

  • Develop dashboards and data visualizations that clearly communicate insights and support decision-making.

  • Collaborate cross-functionally with data science, technology, media, strategy, and client-facing teams.

  • Document methodologies, assumptions, and data limitations to ensure transparency and reproducibility.

Required Qualifications

  • Bachelors degree in Analytics, Statistics, Mathematics, Data Science, Economics, or a related field.

  • 24 years of experience defining and validating metrics within the pharmaceutical, healthcare, or life sciences industry.

  • Strong SQL proficiency, including complex joins, transformations, and performance optimization.

  • Experience working with cloud data warehouses (e.g., BigQuery).

  • Solid foundation in statistics and analytical reasoning (trend analysis, hypothesis testing, segmentation).

  • Proven experience with exploratory data analysis and large, complex datasets.

  • Ability to simplify complex data and insights for diverse audiences.

  • Experience with data visualization tools (Tableau, Power BI, Looker, or similar).

  • Strong collaboration skills and experience working with cross-functional teams.

  • Advanced English communication skills (required).

Preferred Qualifications

  • Experience with pharmaceutical commercial or media data (claims, prescriptions, CRM, hub, or media datasets).

  • Familiarity with AI/ML concepts and data preparation for modeling.

  • Experience using Python or R for analytics and data manipulation.

  • Understanding of pharma compliance, privacy, and data governance.

  • Previous experience working remotely with distributed, international teams across multiple time zones.

Key Competencies

  • Strong analytical rigor and attention to detail

  • Business-oriented problem-solving mindset

  • Clear, concise communication skills

  • Comfort working with ambiguity and imperfect data

  • Curiosity and continuous learning mentality

  • Team-oriented and collaborative approach